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Own full sales cycle for enterprise customers, drive proofs-of-concept, negotiate deals, build long-term relationships, collaborate with engineering/product/customer success, and shape GTM and product roadmap for GenAI adoption.

Own full sales cycle selling LangChain platform to enterprise technical teams. Drive POCs, negotiate contracts, collaborate with engineering/product/customer success, and shape GenAI adoption and sales playbook.

The role involves designing and optimizing a storage layer for AI observability, coding in Rust, and ensuring efficient database performance.

Join the founding SDR team to convert inbound and outbound interest into qualified opportunities. Use phone, email, and LinkedIn outreach, partner with AEs for handoffs, capture prospect insights, experiment with messaging and channels, and leverage LangChain/LangGraph-powered agents and automation to scale prospecting and improve conversion.

Qualify inbound and outbound prospects via phone, email, and LinkedIn, hand off opportunities to Account Executives, capture prospect insights to inform sales and product, and experiment with channels and LangChain-powered agents to improve outreach and conversion.

Build and own LangChain’s React component library and design system. Develop accessible, reusable UI components; translate design tokens and interaction patterns into code; create tooling for theming, versioning, testing, visual regression, and component discovery; and optimize build performance, bundling, dependency management, and package versioning. Collaborate closely with designers, product engineers, and platform teams to maintain a consistent, high-quality frontend foundation.

Drive adoption of LangChain products by managing the full sales cycle for SMB to small-enterprise accounts: prospect, build relationships, qualify needs, and close deals. Collaborate with sales, engineering, and customer success teams to support technical evaluations and accelerate customer onboarding.

Work directly with customers to co-architect, build, deploy, and operate production AI agents. Lead pre-sales technical evaluations and POCs, run demos and workshops, advise on architecture and best practices, contribute reusable patterns and occasional code, and travel to customer sites to support deployments.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

Collaborate with customer engineering teams to co-architect and build AI agents, run demos, and advise on architecture and best practices post-sale.